RFA: R-Squared Fitting Analysis Model for Power Attack

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Regression Model Fitting under Differential Privacy and Model Inversion Attack

Differential privacy preserving regression models guarantee protection against attempts to infer whether a subject was included in the training set used to derive a model. It is not designed to protect attribute privacy of a target individual when model inversion attacks are launched. In model inversion attacks, an adversary uses the released model to make predictions of sensitive attributes (u...

متن کامل

Generalized R-squared for detecting dependence

Detecting dependence between two random variables is a fundamental problem. Although the Pearson correlation coefficient is effective for capturing linear dependence, it can be entirely powerless for detecting nonlinear and/or heteroscedastic patterns. We introduce a new measure, G-squared, to test whether two univariate random variables are independent and to measure the strength of their rela...

متن کامل

R-squared for Bayesian regression models∗

The usual definition of R (variance of the predicted values divided by the variance of the data) has a problem for Bayesian fits, as the numerator can be larger than the denominator. We propose an alternative definition similar to one that has appeared in the survival analysis literature: the variance of the predicted values divided by the variance of predicted values plus the variance of the e...

متن کامل

MNP: R Package for Fitting the Multinomial Probit Model

MNP is a publicly available R package that fits the Bayesian multinomial probit model via Markov chain Monte Carlo. The multinomial probit model is often used to analyze the discrete choices made by individuals recorded in survey data. Examples where the multinomial probit model may be useful include the analysis of product choice by consumers in market research and the analysis of candidate or...

متن کامل

Power Analysis Using R

Thus, a rational approach to hypothesis testing will seek to reject a hypothesis if it is false and accept a hypothesis when it is true. The two types of error are rejecting the null hypothesis when it is true (Type I) and accepting the null hypothesis when it is false (Type II). In the Neyman-Pearson theory, it is usual to fix the Type I error probability (α) at some constant (often at 0.05, b...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Security and Communication Networks

سال: 2017

ISSN: 1939-0114,1939-0122

DOI: 10.1155/2017/5098626